A Modified Giffler and Thompson Genetic Algorithm on the Job Shop Scheduling Problem
Job Shop Scheduling Problem (JSSP) is one of the well-known hardest combinatorial optimization problems. The goal of this research is to study an efficient scheduling method based on Genetic Algorithm (GA) to address JSSP. A GA based on Giffer and Thompson (GT) algorithm known as GT-GA that utilizes...
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Main Authors: | , |
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Format: | Article |
Language: | English |
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Department of Mathematics, Faculty of Science
2006
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Online Access: | http://eprints.utm.my/id/eprint/2458/1/Farhana2007_AModifiedGifflerAndThompson.pdf http://eprints.utm.my/id/eprint/2458/ http://www.fs.utm.my/matematika/content/view/131/31/ |
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